AMF Blacklist Checker - France Financial Scam List

What does AMF Blacklist Checker do?

AMF Blacklist Checker checks websites, e-mail addresses and firm names in bulk against the official blacklists of the Autorité des marchés financiers (AMF), the French financial markets regulator. It tells you, for each item, whether it is on the AMF list of unauthorised firms and financial scams (forex, crypto-assets, binary options, fake gold, diamond or wine investments, and impersonation of regulated firms), with the category and the date it was blacklisted.

It works like an AMF blacklist API: send a list of domains from your app, a payment flow or a spreadsheet, and get a clean JSON, CSV or Excel answer in seconds. It can also export the blacklist itself, filtered by category, date or keyword, for example to receive every week the new scam websites added by the AMF.

The data comes from the AMF's official open dataset on data.gouv.fr (about 3,500 entries, updated several times a week). The Actor downloads the latest version at every run, so you always check against the current list.

Why use AMF Blacklist Checker?

• 🏦 Fraud and compliance teams at banks, neobanks, payment providers and brokers: screen beneficiaries' websites and e-mail domains before a transfer or an onboarding (KYC/KYB).
• 📢 Ad networks, affiliate platforms and marketplaces: block advertisers and sellers that promote unauthorised investment offers in France.
• 🌐 Hosting providers, domain registrars and e-mail providers: detect scam websites among your customers.
• 🛡️ Brand protection: list every fake website and e-mail domain that impersonates your firm (keyword search on your brand name).
• 📰 Comparison sites, journalists and researchers: monitor new scams by category and date.

Key features:

• Accepts domains, full URLs, e-mail addresses and firm names, mixed in one list.
• Smart matching: www. and https:// are ignored, subdomains of a listed site are caught, and the AMF's generic addresses (firstname.lastname@scam-domain.com) match any address on that domain.
• No false alarms on big platforms: an address on gmail.com or a single listed page on calendly.com never flags the whole provider.
• Clear answer: listed, possibleMatch (needs a human review), notFound or invalidInput (the item could not be read), plus English category labels.
• Fast and cheap: 1,000 items are checked in a few seconds. No proxy, no login, no browser.
• Runs on the Apify platform: API access, scheduling (daily or weekly checks), integrations (Zapier, Make, n8n, Google Sheets, webhooks) and monitoring.

What data can AMF Blacklist Checker extract?

Check items against the blacklist mode (one row per item you check):

Field	Type	Description
query	string	The item you checked, as entered
queryType	string	domain, url, email, name or invalid
normalizedDomain	string	Domain that was compared (lower case, without www.)
status	string	listed, possibleMatch, notFound or invalidInput
isListed	boolean	true when the status is listed
categoryLabels	array	Categories in English, e.g. Forex, Crypto-assets, Impersonation of a regulated firm
categories	array	Original AMF category codes (in French)
firstListedDate, lastListedDate	string	Dates (YYYY-MM-DD) on which matching entries were blacklisted
matchCount	integer	Number of matching blacklist entries
matches	array	Up to 25 matching entries: listedEntry, listedEntryType, domain, matchType, matchStrength, categories, categoryLabels, listedDate
errorMessage	string	Why an item could not be read (only for invalidInput)
listUpdatedAt	string	Version (date and time) of the AMF file used
checkedAt, sourceUrl	string	Run time and link to the official dataset

Export the blacklist (with filters) mode (one row per blacklist entry): listedEntry, listedEntryType (domain, url, email or name), domain, categories, categoryLabels, listedDate, listUpdatedAt, checkedAt, sourceUrl. Every row has recordType set to check or listEntry.

What the match types mean:

matchType	Status	Meaning
exactDomain	listed	The domain (or the domain of the e-mail address) is on the list
exactUrl	listed	The exact listed page
listedPageOnDomain	listed	A page of this website is on the list
parentDomainListed	listed	The item is a subdomain of a listed website
exactEmail	listed	This exact e-mail address is on the list (used for webmail addresses)
exactName	listed	The firm name is on the list (legal forms such as Ltd or LLC are ignored)
subdomainListed	possibleMatch	A subdomain of this website is on the list (often a hacked or abused site)
listedPageOnPlatform	possibleMatch	One page on a shared platform (calendly.com, t.me...) is listed, not the platform
nameMatchesDomain, domainMatchesName	possibleMatch	The firm name and a listed domain are written the same way
partialName	possibleMatch	The firm name contains, or is contained in, a listed name

How to check a website against the AMF blacklist

1. Click Try for free (or Start) on this page.
2. Keep the mode Check items against the blacklist.
3. Paste your websites, e-mail addresses or firm names in Websites, e-mail addresses or firm names to check, one per line.
4. Click Start. A few seconds later, open the Output tab, or download the results as JSON, CSV, Excel or HTML.
5. To automate it, call the Actor from the API tab, or create a schedule to run it every day.

To get a feed of new scams, choose Export the blacklist (with filters), set Added to the list since to 7 days and schedule the Actor weekly.

How much does it cost to check the AMF blacklist?

This Actor uses pay-per-event pricing: you only pay for the results you get, and the platform usage is included.

Event	Price	Per 1,000
Item checked (result), whatever the answer	$0.02	$20
Blacklist entry exported (list-entry)	$0.01	$10
Actor start (charged automatically by Apify)	$0.00005	—

Examples: checking 500 domains costs about $10. A weekly feed of new scam websites (typically 10 to 40 entries) costs $0.10 to $0.40 per week. Unreadable items (invalidInput, for example "a" or "bad@") and duplicates in your list are not charged. Set Maximum number of results or a maximum cost per run to keep full control of your budget. You can try the Actor with the monthly credits of the Apify free plan.

Input

See the Input tab for all options. The main fields:

• mode: check (default) or list.
• queries: the items to check, in Check items against the blacklist mode.
• maxResults: safety cap on the number of results (default 10,000).
• categories, addedSince, keyword: filters for Export the blacklist (with filters) mode. addedSince accepts a date (2026-01-01) or a period (7 days, 2 weeks, 3 months). categories accepts impersonation, crypto, forex, binaryOptions, alternativeInvestments, crowdfunding and other.

Example input (Check items against the blacklist mode):

{
    "mode": "check",
    "queries": [
        "www.diamondxp.com",
        "https://www.x90.com/fr",
        "info@edmondderothschild-private-equity.com",
        "Kuvera",
        "example.com"
    ]
}

Example input (Export the blacklist (with filters) mode, brand protection):

{
    "mode": "list",
    "keyword": "rothschild",
    "addedSince": "1 year"
}

Output

You can download the dataset in various formats such as JSON, HTML, CSV or Excel. Example rows from the input above:

[
    {
        "recordType": "check",
        "query": "https://www.x90.com/fr",
        "queryType": "url",
        "normalizedDomain": "x90.com",
        "status": "listed",
        "isListed": true,
        "matchCount": 1,
        "categories": ["Forex"],
        "categoryLabels": ["Forex"],
        "firstListedDate": "2017-06-28",
        "lastListedDate": "2017-06-28",
        "matches": [
            {
                "listedEntry": "www.x90.com/fr",
                "listedEntryType": "domain",
                "domain": "x90.com",
                "matchType": "exactDomain",
                "matchStrength": "listed",
                "categories": ["Forex"],
                "categoryLabels": ["Forex"],
                "listedDate": "2017-06-28"
            }
        ],
        "errorMessage": null,
        "listUpdatedAt": "2026-10-16T06:30:01+00:00",
        "checkedAt": "2026-10-18T18:19:10.442Z",
        "sourceUrl": "https://www.data.gouv.fr/datasets/listes-noires-des-entites-non-autorisees-a-proposer-des-produits-ou-services-financiers-en-france"
    },
    {
        "recordType": "check",
        "query": "example.com",
        "queryType": "domain",
        "normalizedDomain": "example.com",
        "status": "notFound",
        "isListed": false,
        "matchCount": 0,
        "categories": [],
        "categoryLabels": [],
        "firstListedDate": null,
        "lastListedDate": null,
        "matches": [],
        "errorMessage": null,
        "listUpdatedAt": "2026-10-16T06:30:01+00:00",
        "checkedAt": "2026-10-18T18:19:10.442Z",
        "sourceUrl": "https://www.data.gouv.fr/datasets/listes-noires-des-entites-non-autorisees-a-proposer-des-produits-ou-services-financiers-en-france"
    }
]

An exported entry (Export the blacklist (with filters) mode). Usurpation is the AMF's original French category code for impersonation of a regulated firm, kept as is in categories; categoryLabels gives the English label:

{
    "recordType": "listEntry",
    "listedEntry": "*@fivearrows-rothschild.com",
    "listedEntryType": "email",
    "domain": "fivearrows-rothschild.com",
    "categories": ["Usurpation"],
    "categoryLabels": ["Impersonation of a regulated firm"],
    "listedDate": "2026-07-10",
    "listUpdatedAt": "2026-10-16T06:30:01+00:00",
    "checkedAt": "2026-10-18T18:21:30.000Z",
    "sourceUrl": "https://www.data.gouv.fr/datasets/listes-noires-des-entites-non-autorisees-a-proposer-des-produits-ou-services-financiers-en-france"
}

Tips

• Check in bulk: one run with 1,000 items is as fast as one run with 10 items. Group your checks instead of starting one run per item.
• Review possible matches by hand: possibleMatch means a related entry exists (same name written as a domain, a listed subdomain...). It is not proof of fraud.
• Use the API: the Actor answers in seconds, so you can call it synchronously from your own system.
• Not on the list does not mean safe: new scams appear every day. Combine this check with your other controls.

FAQ

Is this the official AMF service?

No. This Actor is an independent tool that reuses the AMF's open data. It is not affiliated with, endorsed by or operated by the Autorité des marchés financiers. The AMF publishes its own search tool on AMF Protect Epargne.

Where does the data come from, and can I reuse it?

From the dataset "Listes noires des entités non autorisées à proposer des produits ou services financiers en France" (in English: "Blacklists of entities not authorised to offer financial products or services in France"), published by the AMF on data.gouv.fr under the Licence Ouverte 2.0 (Etalab open licence), which allows commercial reuse with attribution. Each row includes sourceUrl and listUpdatedAt so you can cite the source and its version.

How often is the list updated?

The AMF updates the file several times a week. The Actor downloads the latest file at every run; listUpdatedAt tells you which version was used.

Is the AMF list complete?

No. The AMF itself states that its blacklists cannot be exhaustive. A notFound answer only means that the item is not on the published list. It is not investment advice and not a guarantee that a firm is authorised. To check that a firm is authorised, use the official registers, such as REGAFI (banks, payment and investment firms) and the AMF's lists of authorised firms.

Does the output contain personal data?

No. The AMF list contains some e-mail addresses, sometimes with the name of the person whose identity was stolen. The Actor keeps only the domain (*@scam-domain.com) and removes names of private individuals from older entries. The list only covers firms and websites. Your own query values are returned as you entered them.

Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our Actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

Can I check an exact e-mail address on Gmail or Proton?

Yes. Addresses on free webmail providers are compared as a whole (exactEmail), never by their domain, so anyone@gmail.com is never flagged just because a scammer once used Gmail.

Something looks wrong, or I need another source?

Open the Issues tab of this Actor and describe the item and the expected answer. Requests for other regulators' lists are welcome.